Results 51 to 60 of about 10,119 (225)

An Enhanced Approach for Intrusion Detection Modeling to Secure IoT Network by Using Big Data Analytics

open access: yesIET Information Security, Volume 2026, Issue 1, 2026.
Since 1980, the arrival of the internet has made fabulous changes, and presently, the Internet of Things (IoT) is having the same track. IoT becomes more attractive due to its potential, but on the other hand, the IoT network is targeted to be demolished.
Ahmad Bilal   +6 more
wiley   +1 more source

MapReduce based RDF assisted distributed SVM for high throughput spam filtering [PDF]

open access: yes, 2013
This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel UniversityElectronic mail has become cast and embedded in our everyday lives. Billions of legitimate emails are sent on a daily basis.
Caruana, Godwin
core  

Cellular automata-based MapReduce design: Migrating a big data processing model from Industry 4.0 to Industry 5.0

open access: yese-Prime: Advances in Electrical Engineering, Electronics and Energy
A successful deployment of Industry 5.0 is significantly dependent on the synergetic integration of several advanced technologies such as big data processing, Artificial Intelligence (AI) integration, and several effective digitization techniques that ...
Arnab Mitra
doaj   +1 more source

Towards a Cost-Efficient MapReduce: Mitigating Power Peaks for Hadoop Clusters

open access: yesTsinghua Science and Technology, 2014
Distributed data processing system is becoming one of the most important components for data-intensive computational tasks in the enterprise software infrastructure.
Nan Zhu, Xue Liu, Jie Liu, Yu Hua
doaj   +1 more source

MapReduce in the Clouds for Science [PDF]

open access: yes2010 IEEE Second International Conference on Cloud Computing Technology and Science, 2010
The utility computing model introduced by cloud computing combined with the rich set of cloud infrastructure services offers a very viable alternative to traditional servers and computing clusters. MapReduce distributed data processing architecture has become the weapon of choice for data-intensive analyses in the clouds and in commodity clusters due ...
Thilina Gunarathne   +3 more
openaire   +1 more source

A Survey: Energy Optimisation Approaches in Urban Rail Systems (AI‐Based and Non‐AI‐Based)

open access: yesIET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This article presents a systematic review of energy optimisation strategies for urban rail systems, covering speed profile, timetable, regenerative braking, energy storage and power‐supply optimisation. We synthesise methodological trends and reported energy‐saving performance across AI‐based and non‐AI approaches.
Cakra Adipura Wicaksana   +2 more
wiley   +1 more source

High performance Monte Carlo computation for finance risk data analysis [PDF]

open access: yes, 2013
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Finance risk management has been playing an increasingly important role in the finance sector, to analyse finance data and to prevent any potential crisis ...
Zhao, Yu
core  

A parallel genetic algorithms framework based on Hadoop MapReduce [PDF]

open access: yes, 2015
This paper describes a framework for developing parallel Genetic Algorithms (GAs) on the Hadoop platform, following the paradigm of MapReduce. The framework allows developers to focus on the aspects of GA that are specific to the problem to be addressed.
Hadoop Mapreduce   +8 more
core   +1 more source

Pre-Processing and Modeling Tools for Bigdata

open access: yesFoundations of Computing and Decision Sciences, 2016
Modeling tools and operators help the user / developer to identify the processing field on the top of the sequence and to send into the computing module only the data related to the requested result.
Hashem Hadi, Ranc Daniel
doaj   +1 more source

MR-IDPSO: A Novel Algorithm for Large-Scale Dynamic Service Composition

open access: yesTsinghua Science and Technology, 2015
In the era of big data, data intensive applications have posed new challenges to the field of service composition. How to select the optimal composited service from thousands of functionally equivalent services but different Quality of Service (QoS ...
Yanping Zhang, Zihui Jing, Yiwen Zhang
doaj   +1 more source

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